Applied Clinical Data Analytics University of Galway

Overview

The Applied Clinical Data Analytics programme at  University of Galway  is designed to train healthcare workers without a background in data analytics, statistics, or computer programming, to analyse and interpret healthcare data. It applies research and data analytics knowledge to clinical and health data to effectively answer research questions. 

Assignments are all real-world examples of clinical research including clinical trials, systematic reviews, observational research, and data from administrative clinical datasets. 

Key facts:

• The course will teach students to understand and learn how to apply traditional statistical techniques and machine learning by completing weekly assignments and an end of year thesis. 

• They will learn data import, cleaning, exploration and analysis using the R programming language and R packages for data analysis, machine learning and source control using GitHub. 

• The course will also teach research methodology and appropriate statistical analysis using R for randomised controlled trials, systematic reviews, case control studies and prospective cohort studies.

Career opportunities:

• There are various career paths in healthcare, research, and technology sectors. These roles often require a combination of skills in data analysis, and proficiency in relevant tools and technologies such as statistical software, database management systems, and programming languages like R that is taught on the Applied Clinical Data Analytics Masters.

Here are some roles aligned to the Masters: 

• Clinical Data Analyst: They analyse healthcare data to improve patient care, streamline operations, and support decision-making processes within clinical settings. 

• Healthcare Data Scientist: Leveraging advanced statistical and computational techniques, they analyse complex healthcare data to derive insights, predict trends, and develop data-driven solutions for healthcare challenges. 

• Clinical Informatics Specialist: They focus on integrating healthcare data with information technology systems to improve the efficiency and quality of healthcare delivery. 

• Clinical Research Coordinator: Responsible for managing and analysing data collected during clinical trials, ensuring compliance with regulatory requirements and ethical standards. 

• Epidemiologist: They investigate patterns and causes of diseases within populations, utilizing clinical data analytics to identify risk factors, track disease outbreaks, and inform public health interventions.